Documents dont l'auteur est "Cappart, Quentin"

Quentin CappartDépartement de génie informatique et génie logicielVoir sa fiche dans le Répertoire des Expertises de Polytechnique Montréal

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Barral, H., Gaha, M., Dems, A., Côté, A., Nguewouo, F., & Cappart, Q. (mai 2024). Acquiring Constraints for a Non-linear Transmission Maintenance Scheduling Problem [Communication écrite]. 21st International Conference on Integration of Constraint Programming, Artificial Intelligence and Operations Research (CPAIOR 2024), Uppsala, Sweden. Lien externe

Boisvert, L., Verhaeghe, H., & Cappart, Q. (mai 2024). Towards a Generic Representation of Combinatorial Problems for Learning-Based Approaches [Communication écrite]. 21st International Conference on the Integration of Constraint Programming, Artificial Intelligence, and Operations Research (CPAIOR 2024), Uppsala, Sweden. Lien externe

Bourgeat, M., Navarro, A., Boisvert, L., Marty, T., Rousseau, L.-M., & Cappart, Q. (août 2023). SeaPearl - XCSP Competition (MiniTrack) [Résumé]. XCSP3 Competition 2023, France (2 pages). Non disponible

Busard, S., Cappart, Q., Limbrée, C., Pecheur, C., & Schaus, P. (juin 2015). Verification of railway interlocking systems [Communication écrite]. 4th International Workshop on Engineering Safety and Security Systems, Oslo, Norway. Lien externe

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Cappart, Q., Chételat, D., Khalil, E. B., Lodi, A., Morris, C., & Velickovic, P. (2023). Combinatorial Optimization and Reasoning with Graph Neural Networks. Journal of Machine Learning Research, 24, 130 (61 pages). Lien externe

Cappart, Q., Bergman, D., Rousseau, L.-M., Premont-Schwarz, I., & Parjadis, A. (2022). Improving variable orderings of approximate decision diagrams using reinforcement learning. INFORMS Journal on Computing, 34(5), 2552-2570. Lien externe

Cappart, Q., Chételat, D., Khalil, E. B., Lodi, A., Morris, C., & Veličković, P. (août 2021). Combinatorial Optimization and Reasoning with Graph Neural Networks [Communication écrite]. 30th International Joint Conference on Artificial Intelligence (IJCAI 2021). Lien externe

Cappart, Q., Moisan, T., Rousseau, L.-M., Prémont-Schwarz, I., & Cire, A. A. (février 2021). Combining Reinforcement Learning and Constraint Programming for Combinatorial Optimization [Communication écrite]. 35th AAAI Conference on Artificial Intelligence / 33rd Conference on Innovative Applications of Artificial Intelligence / 11th Symposium on Educational Advances in Artificial Intelligence. Publié dans Proceedings of the ... AAAI Conference on Artificial Intelligence, 35(5). Lien externe

Chalumeau, F., Coulon, I., Cappart, Q., & Rousseau, L.-M. (juillet 2021). SeaPearl: A Constraint Programming Solver Guided by Reinforcement Learning [Communication écrite]. 18th International Conference on the Integration of Constraint Programming, Artificial Intelligence, and Operations Research (CPAIOR 2021), Vienna, Austria. Lien externe

Cappart, Q., Thomas, C., Schaus, P., & Rousseau, L.-M. (août 2018). A constraint programming approach for solving patient transportation problems [Communication écrite]. 24th International Conference on the Principles and Practice of Constraint Programming (CP 2018), Lille, France. Lien externe

Cappart, Q., Aoga, J. O. R., & Schaus, P. (juin 2018). EpisodeSupport: A Global Constraint for Mining Frequent Patterns in a Long Sequence of Events [Communication écrite]. 15th International Conference on Integration of Constraint Programming, Artificial Intelligence, and Operations Research (CPAIOR 2018), Delft, The Netherlands. Lien externe

Cappart, Q., Goutierre, E., Bergman, D., & Rousseau, L.-M. (janvier 2019). Improving optimization bounds using machine learning: Decision diagrams meet deep reinforcement learning [Communication écrite]. Association for the Advancement of Artificial Intelligence (AAAI 2019), Honolulu, HI. Lien externe

Cappart, Q., & Schaus, P. (juin 2017). Rescheduling Railway Traffic on Real Time Situations Using Time-Interval Variables [Communication écrite]. 14th International Conference on Integration of AI and OR Techniques in Constraint Programming (CPAIOR 2017), Padua, Italy. Lien externe

Cappart, Q., Limbrée, C., Schaus, P., Quilbeuf, J., Traonouez, L.-M., & Legay, A. (janvier 2017). Verification of Interlocking Systems Using Statistical Model Checking [Communication écrite]. 18th IEEE International Symposium on High Assurance Systems Engineering (HASE 2017), Singapore. Lien externe

Cappart, Q., & Schaus, P. (septembre 2016). A Dedicated Algorithm for Verification of Interlocking Systems [Communication écrite]. 35th International Conference on Computer Safety, Reliability, and Security (SAFECOMP 2016), Trondheim, Norway. Lien externe

Cappart, Q., Limbrée, C., Schaus, P., & Legay, A. (octobre 2015). Verification by discrete simulation of interlocking systems [Communication écrite]. 29th European Simulation and Modelling Conference, Leicester, United Kingdom. Lien externe

Cappart, Q., & Thonet, A. (septembre 2015). The world migration network: Rankings, groups and gravity models [Communication écrite]. International Conference on Computer as a Tool (IEEE EUROCON 2015), Salamanca, Spain (6 pages). Lien externe

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Gerbaux, J., Desaulniers, G., & Cappart, Q. (2025). A machine-learning-based column generation heuristic for electric bus scheduling. Computers & Operations Research, 173, 106848 (14 pages). Lien externe

Garmendia, A. I., Morri, F., Cappart, Q., & Le Cadre, H. (2024). Winning the 2023 CityLearn Challenge: A Community-Based Hierarchical Energy Systems Coordination Algorithm. Dans ECAI 2024 (Vol. 392, p. 2330-2337). Lien externe

Gerbaux, J., Cappart, Q., & Desaulniers, G. (2024). A machine-learning-based column generation heuristic for electric bus scheduling. (Rapport technique n° G-2024-13). Lien externe

Garmendia, A. I., Cappart, Q., Ceberio, J., & Mendiburu, A. (août 2024). MARCO: A Memory-Augmented Reinforcement Framework for Combinatorial Optimization [Communication écrite]. 33rd International Joint Conference on Artificial Intelligence (IJCAI 2024), Jeju, Republic of Korea. Lien externe

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Hoppe, H., Enders, T., Cappart, Q., & Schiffer, M. (juillet 2024). Global Rewards in Multi-Agent Deep Reinforcement Learning for Autonomous Mobility on Demand Systems [Communication écrite]. 6th Annual Learning for Dynamics and Control Conference (L4DC 2024), Oxford, United kingdom. Lien externe

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Joshi, C. K., Cappart, Q., Rousseau, L.-M., & Laurent, T. (2022). Learning the travelling salesperson problem requires rethinking generalization. Constraints, 27(1-2), 70-98. Lien externe

Joshi, C. K., Cappart, Q., Rousseau, L.-M., & Laurent, T. (octobre 2021). Learning TSP requires rethinking generalization [Communication écrite]. 27th International Conference on Principles and Practice of Constraint Programming (CP 2021), Montpellier, France (21 pages). Disponible

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Kafaei, P., Cappart, Q., Chapados, N., Pouya, H., & Rousseau, L.-M. (2023). Dynamic Routing and Wavelength Assignment with Reinforcement Learning. INFORMS Journal on Optimization, 6(1), 1-18. Lien externe

Kafaei, P., Cappart, Q., Renaud, M.-A., Chapados, N., & Rousseau, L.-M. (2021). Graph neural networks and deep reinforcement learning for simultaneous beam orientation and trajectory optimization of Cyberknife. Physics in Medicine and Biology, 66(21), 215002 (17 pages). Lien externe

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Larocque, R., Boulé, A.-M., & Cappart, Q. (2024). Estimating Road Construction Costs with Explainable Machine Learning. INFORMS Journal on Applied Analytics, 17 pages. Lien externe

Limbrée, C., Cappart, Q., Pecheur, C., & Tonetta, S. (juin 2016). Verification of Railway Interlocking - Compositional Approach with OCRA [Communication écrite]. 1st International Conference on Reliability, Safety, and Security of Railway Systems. Modelling, Analysis, Verification, and Certification (RSSRail 2016), Paris, France. Lien externe

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Marty, T., Boisvert, L., François, T., Tessier, P., Gautier, L., Rousseau, L.-M., & Cappart, Q. (2024). Learning and fine-tuning a generic value-selection heuristic inside a constraint programming solver. Constraints, 27 pages. Lien externe

Marty, T., Francois, T., Tessier, P., Gautier, L., Rousseau, L.-M., & Cappart, Q. (août 2023). Learning a Generic Value-Selection Heuristic Inside a Constraint Programming Solver [Communication écrite]. 29th International Conference on Principles and Practice of Constraint Programming (CP 2023), Toronto, ON, Canada (19 pages). Lien externe

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Parjadis, A., Cappart, Q., Dilkina, B., Ferber, A., & Rousseau, L.-M. (septembre 2024). Learning Lagrangian Multipliers for the Travelling Salesman Problem [Communication écrite]. 30th International Conference on Principles and Practice of Constraint Programming (CP 2024), Girona, Spain (18 pages). Lien externe

Parham, Z., de Lille, V. T., & Cappart, Q. (juin 2023). Explaining the Behavior of Reinforcement Learning Agents Using Association Rules [Communication écrite]. 17th International Conference on Learning and Intelligent Optimization (LION-17 2023), Nice, France. Lien externe

Parjadis, A., Cappart, Q., Massoteau, Q., & Rousseau, L.-M. (juin 2023). Repositioning Fleet Vehicles: A Learning Pipeline [Communication écrite]. 17th International Conference on Learning and Intelligent Optimization (LION-17 2023), Nice, France. Lien externe

Parjadis, A., Cappart, Q., Rousseau, L.-M., & Bergman, D. (juillet 2021). Improving Branch-and-Bound Using Decision Diagrams and Reinforcement Learning [Communication écrite]. 18th International Conference on the Integration of Constraint Programming, Artificial Intelligence, and Operations Research (CPAIOR 2021), Vienna, Austria. Lien externe

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Rudich, I., Cappart, Q., & Rousseau, L.-M. (2023). Improved Peel-and-Bound: Methods for Generating Dual Bounds with Multivalued Decision Diagrams. Journal of Artificial Intelligence Research, 77, 1489-1538. Lien externe

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Thomas, C., Cappart, Q., Schaus, P., & Rousseau, L.-M. (juin 2019). Une approche de programmation par contraintes pour résoudre le problème de transport de patients [A constraint programming approach for solving patient transportation problems]. [Communication écrite]. 15es Journées Francophones de Programmation par Contraintes (JFPC 2019), Albi, France. Lien externe

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Verhaeghe, H., Cappart, Q., Pesant, G., & Quimper, C.-G. (septembre 2024). Learning Precedences for Scheduling Problems with Graph Neural Networks [Communication écrite]. 30th International Conference on Principles and Practice of Constraint Programming (CP 2024), Girona, Spain (18 pages). Lien externe

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Yin, C., Cappart, Q., & Pesant, G. (mai 2024). An Improved Neuro-Symbolic Architecture to Fine-Tune Generative AI Systems [Communication écrite]. 21st International Conference on Integration of Constraint Programming, Artificial Intelligence and Operations Research (CPAIOR 2024), Uppsala, Sweden. Lien externe